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Human Self-Domestication and the Evolution of Pragmatics
Antonio Benítez-Burraco1, Francesco Ferretti2, Ljiljana Progovac3
1Department of Spanish, Linguistics and Theory of Literature (Linguistics), Faculty of Philology, University of Seville.
Human self-domestication gradually shaped language pragmatics through reduced aggression, evolving complex communication. This feedback loop enhanced social interaction and cognitive abilities, fostering cooperation and competition in conversation.
Area of Science:
- Evolutionary linguistics
- Human cognitive evolution
- Primatology
Background:
- Modern language use (pragmatics) is proposed to have evolved gradually in humans.
- This evolution is linked to human self-domestication processes.
- Key aspects include reduced aggression, language structure sophistication, and enhanced pragmatic principles.
Purpose of the Study:
- To propose a multifactorial model for the evolution of language pragmatics.
- To explore the feedback loop between self-domestication and linguistic development.
- To investigate the role of reduced aggression in shaping human communication.
Main Methods:
- Theoretical modeling of gene-culture co-evolution and cultural niche construction.
- Analysis of the interplay between reactive aggression, language structure, and pragmatic abilities.
- Examination of evidence from cognitive disorders presenting with self-domestication and pragmatic deficits.
Main Results:
- A reduction in reactive aggression facilitated the exploitation of cognitive potential for linguistic exchanges.
- Language evolution involved a feedback loop where reduced aggression and linguistic sophistication reinforced each other.
- Early language forms supported verbal aggression, while later forms enabled persuasive reciprocity, reducing physical aggression.
Conclusions:
- Language pragmatics evolved gradually through a complex feedback loop involving self-domestication and linguistic innovations.
- Reduced aggression is a crucial factor enabling sophisticated human communication and social interaction.
- This multifactorial approach offers a more comprehensive understanding of language evolution than single-factor models.
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